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Being limited by the node energy, the Internet of Things (IoT) is prone to data redundancy in the process of data acquisition and collection, resulting in a large amount of packet losses in data transmission and making it impossible to guarantee the transmission mechanism with data security. In order to study the credibility of IoT sensing data transmission further, Edge Computing in Internet of Things: A Novel Sensing-data Reconstruction Algorithm under Intelligent-migration strategy (RdS-ImS) is proposed in this paper. From the beginning, this algorithm can build the packet loss model of sensing data on the link into the form which is random and give the data packet loss predictive model based on the compressed sensing theory. Secondly, preventing the random data packet from lossing, the predictive model is applied to recover through the sensing data retransmission mechanism. If it is unavailable to determine random data packet loss, time series prediction algorithm may be applied for recovery. In addition, in case of interruption of the transmission path, such predictive model can upload the sensing data to the cloud computing platform through an alternative path. At the same time, iterative calculation is performed on the path using intelligent algorithms to optimize the path According to simulation results; this predictive model can improve the network runtime quickly but reducing the sensing data packet loss rate effectively, thereby further verifying this method, which is put forward in this paper, is of relatively strong stability and adaptability.

Edge Computing in Internet of Things: A Novel Sensing-Data Reconstruction Algorithm Under Intelligent-Migratoin Stragegy